Ole Schütt

9.9k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Ole Schütt is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Geophysics. According to data from OpenAlex, Ole Schütt has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 6 papers in Atomic and Molecular Physics, and Optics and 5 papers in Geophysics. Recurrent topics in Ole Schütt's work include Machine Learning in Materials Science (5 papers), High-pressure geophysics and materials (5 papers) and Advanced Chemical Physics Studies (4 papers). Ole Schütt is often cited by papers focused on Machine Learning in Materials Science (5 papers), High-pressure geophysics and materials (5 papers) and Advanced Chemical Physics Studies (4 papers). Ole Schütt collaborates with scholars based in Germany, Switzerland and Italy. Ole Schütt's co-authors include Wolfgang Windl, D. Strauch, P. Pavone, K. Karch, Stefano Baroni, Paolo Giannozzi, Joost VandeVondele, Giovanni Pizzi, Berend Smit and Carlo A. Pignedoli and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and Journal of Computational Chemistry.

In The Last Decade

Ole Schütt

16 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Materials Cloud, a platform for open computational science

2020 267 citations Leopold Talirz, Aliaksandr V. Yakutovich et al. Repository for Publications and Research Data (ETH Zurich) profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ole Schütt	853	316	291	246	120	16	1.1k
L. J. Clarke	491 0.6×	541 1.7×	263 0.9×	96 0.4×	80 0.7×	19	979
Damien Caliste	810 0.9×	533 1.7×	499 1.7×	102 0.4×	100 0.8×	38	1.4k
Ferenc Karsai	1.4k 1.6×	290 0.9×	481 1.7×	76 0.3×	94 0.8×	21	1.7k
S. Alireza Ghasemi	1.1k 1.3×	525 1.7×	266 0.9×	101 0.4×	112 0.9×	33	1.5k
Peter Steneteg	724 0.8×	263 0.8×	169 0.6×	157 0.6×	46 0.4×	15	1.1k
Vikram Gavini	800 0.9×	668 2.1×	440 1.5×	66 0.3×	150 1.3×	56	1.5k
Ralf Meyer	793 0.9×	787 2.5×	706 2.4×	69 0.3×	227 1.9×	116	1.8k
R. W. Nunes	1.5k 1.7×	1.0k 3.3×	590 2.0×	108 0.4×	250 2.1×	57	2.2k
William F. Koehl	1.4k 1.6×	741 2.3×	1.0k 3.5×	154 0.6×	134 1.1×	12	1.9k
S. D. Goren	464 0.5×	284 0.9×	164 0.6×	80 0.3×	164 1.4×	104	1.0k

Countries citing papers authored by Ole Schütt

Since Specialization

Citations

This map shows the geographic impact of Ole Schütt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ole Schütt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ole Schütt more than expected).

Fields of papers citing papers by Ole Schütt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ole Schütt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ole Schütt. The network helps show where Ole Schütt may publish in the future.

Co-authorship network of co-authors of Ole Schütt

This figure shows the co-authorship network connecting the top 25 collaborators of Ole Schütt. A scholar is included among the top collaborators of Ole Schütt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ole Schütt. Ole Schütt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Bussy, Augustin, Ole Schütt, & Jürg Hutter. (2023). Sparse tensor based nuclear gradients for periodic Hartree–Fock and low-scaling correlated wave function methods in the CP2K software package: A massively parallel and GPU accelerated implementation. The Journal of Chemical Physics. 158(16). 10 indexed citations

Schade, Robert R., Tobias Kenter, Hossam Elgabarty, et al.. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 111. 102920–102920. 27 indexed citations

Yakutovich, Aliaksandr V., Kristjan Eimre, Ole Schütt, et al.. (2020). AiiDAlab – an ecosystem for developing, executing, and sharing scientific workflows. Computational Materials Science. 188. 110165–110165. 52 indexed citations

Talirz, Leopold, Aliaksandr V. Yakutovich, V. Granata, et al.. (2020). Materials Cloud, a platform for open computational science. Repository for Publications and Research Data (ETH Zurich). 267 indexed citations breakdown →

Schütt, Ole & Joost VandeVondele. (2018). Machine Learning Adaptive Basis Sets for Efficient Large Scale Density Functional Theory Simulation. Journal of Chemical Theory and Computation. 14(8). 4168–4175. 31 indexed citations

Ben, Mauro Del, et al.. (2014). Enabling simulation at the fifth rung of DFT: Large scale RPA calculations with excellent time to solution. Computer Physics Communications. 187. 120–129. 45 indexed citations

Bujotzek, Alexander, et al.. (2013). ZIBgridfree: efficient conformational analysis by partition-of-unity coupling. Journal of Mathematical Chemistry. 52(3). 781–804. 4 indexed citations

Schütt, Ole & Daniel Sebastiani. (2012). Spectroscopic fingerprints of toroidal nuclear quantum delocalization via ab initio path integral simulations. Journal of Computational Chemistry. 34(10). 827–835. 1 indexed citations

Pavone, P., Reinhard Bauer, K. Karch, et al.. (1996). Ab initio phonon calculations in solids. Physica B Condensed Matter. 219-220. 439–441. 38 indexed citations

10.

Bauer, Reinhard, Ole Schütt, P. Pavone, Wolfgang Windl, & D. Strauch. (1995). Static and dynamical properties of solid chlorine. Physical review. B, Condensed matter. 51(1). 210–213. 4 indexed citations

11.

Windl, Wolfgang, K. Karch, P. Pavone, Ole Schütt, & D. Strauch. (1995). Full ab initio calculation of second‐order Raman spectra of semiconductors. International Journal of Quantum Chemistry. 56(6). 787–790. 8 indexed citations

12.

Karch, K., P. Pavone, Wolfgang Windl, Ole Schütt, & D. Strauch. (1994). Ab initiocalculation of structural and lattice-dynamical properties of silicon carbide. Physical review. B, Condensed matter. 50(23). 17054–17063. 190 indexed citations

13.

Windl, Wolfgang, K. Karch, P. Pavone, et al.. (1994). Second-order Raman spectra of SiC: Experimental and theoretical results fromab initiophonon calculations. Physical review. B, Condensed matter. 49(13). 8764–8767. 45 indexed citations

14.

Schütt, Ole, P. Pavone, Wolfgang Windl, K. Karch, & D. Strauch. (1994). Ab initiolattice dynamics and charge fluctuations in alkaline-earth oxides. Physical review. B, Condensed matter. 50(6). 3746–3753. 75 indexed citations

15.

Pavone, P., K. Karch, Ole Schütt, et al.. (1993). Ab initiolattice dynamics of diamond. Physical review. B, Condensed matter. 48(5). 3156–3163. 266 indexed citations

16.

Windl, Wolfgang, P. Pavone, K. Karch, et al.. (1993). Second-order Raman spectra of diamond fromab initiophonon calculations. Physical review. B, Condensed matter. 48(5). 3164–3170. 87 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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